F5 BIG-IQ Centralized Management vs. OpenText Deployment Automation

F5 BIG-IQ Centralized Management works perfectly in Software upgrades and simple daily changes. We are successfully using it to create and or delete objects. It doesn`t works well when we need reports. I usually have to create custom scripts to get a list of objects, for example. Performance is also something that could be improved in Big-IQ

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• Common system level changes like cipher suite customization, ssh protocol settings etc can be pushed to all F5 gear through one click of a button
• Enterprise standard templates for profiles/protocols etc., can be efficiently managed across F5 gear through a single interface

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• There a lack of the going forward to next
• The second site product does not do what we need and we are forced to write our own scripts
• Many of the alerting that was in enterprise management is no longer in F5 BIG-IQ Centralized Management

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There is some room for improvement around RBAC. The access to certain features, options and menus is not straightforward and not that granular.

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I feel pinning policies are killing you guys when it comes to being able to add multiple LTMs that have different naming conventions.

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The support is a bit complex and not straightforward. It seems there aren't many engineers supporting this platform. There are many components in the solution that makes it complex for troubleshooting. Documentation needs to be more in depth, and I have opened a few cases around cluster sync issues and objects stalled. In the end I was able to find and fix the problem.

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Of all the centralized Management platforms I have ever used, BIG-IQ is the worst. It constantly breaks and requires fixing in some way or another.

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• Cut costs by requiring less manual hours to manage F5 OS installations
• Great monitoring and alerting tool for general F5 gear health
• Provides critical information for capacity planning of the F5 resources

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info